Analysis Variable : hamd	
Treatment_Group	week	N Obs	N	Mean	Std Dev	Variance	
Augmentation	0	26	26	29.2692308	6.0236713	36.2846154	
	1	26	26	23.2692308	5.8621340	34.3646154	
	2	26	23	18.4347826	7.9133149	62.6205534	
	3	26	21	15.5714286	8.8463067	78.2571429	
	4	26	20	14.3500000	8.4683622	71.7131579	
	5	26	19	10.5789474	5.9750945	35.7017544	
	6	26	19	8.8947368	6.5819175	43.3216374	
Control	0	24	24	31.0833333	6.2964218	39.6449275	
	1	24	24	26.1250000	6.9176051	47.8532609	
	2	24	22	20.9090909	7.6214552	58.0865801	
	3	24	22	19.8181818	7.9140403	62.6320346	
	4	24	23	18.6086957	8.6167866	74.2490119	
	5	24	20	14.2500000	8.3532219	69.7763158	
	6	24	19	11.6842105	6.5494074	42.8947368	

7  Variables:	HD_t0    HD_t1    HD_t2    HD_t3    HD_t4    HD_t5    HD_t6	

Simple Statistics	
Variable	N	Mean	Std Dev	Sum	Minimum	Maximum	
HD_t0	50	30.14000	6.16114	1507	20.00000	43.00000	
HD_t1	50	24.64000	6.48628	1232	12.00000	42.00000	
HD_t2	45	19.64444	7.78447	884.00000	6.00000	38.00000	
HD_t3	43	17.74419	8.55540	763.00000	1.00000	37.00000	
HD_t4	43	16.62791	8.71513	715.00000	1.00000	38.00000	
HD_t5	39	12.46154	7.43337	486.00000	0	33.00000	
HD_t6	38	10.28947	6.62880	391.00000	0	25.00000	

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations	
	HD_t0	HD_t1	HD_t2	HD_t3	HD_t4	HD_t5	HD_t6	
HD_t0	1.00000

50	0.64474
<.0001
50	0.35581
0.0165
45	0.21666
0.1629
43	0.15638
0.3166
43	0.09970
0.5459
39	0.06144
0.7141
38	
HD_t1	0.64474
<.0001
50	1.00000

50	0.67486
<.0001
45	0.63811
<.0001
43	0.49103
0.0008
43	0.48273
0.0019
39	0.37953
0.0188
38	
HD_t2	0.35581
0.0165
45	0.67486
<.0001
45	1.00000

45	0.71991
<.0001
43	0.62496
<.0001
42	0.51445
0.0010
38	0.43007
0.0079
37	
HD_t3	0.21666
0.1629
43	0.63811
<.0001
43	0.71991
<.0001
43	1.00000

43	0.90059
<.0001
42	0.73887
<.0001
38	0.62438
<.0001
37	
HD_t4	0.15638
0.3166
43	0.49103
0.0008
43	0.62496
<.0001
42	0.90059
<.0001
42	1.00000

43	0.87663
<.0001
38	0.75797
<.0001
37	
HD_t5	0.09970
0.5459
39	0.48273
0.0019
39	0.51445
0.0010
38	0.73887
<.0001
38	0.87663
<.0001
38	1.00000

39	0.87672
<.0001
37	
HD_t6	0.06144
0.7141
38	0.37953
0.0188
38	0.43007
0.0079
37	0.62438
<.0001
37	0.75797
<.0001
37	0.87672
<.0001
37	1.00000

38	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Unstructured	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
Treatment_Group	2	Augmentation Control	

Dimensions	
Covariance Parameters	4	
Columns in X	6	
Columns in Z per Subject	2	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2097.18779089		
1	2	1932.91183890	0.00047829	
2	1	1932.54076803	0.00002540	
3	1	1932.52266751	0.00000009	
4	1	1932.52260671	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
UN(1,1)	id	29.9685	
UN(2,1)	id	-2.6210	
UN(2,2)	id	2.1521	
Residual		17.8437	

Fit Statistics	
-2 Res Log Likelihood	1932.5	
AIC (Smaller is Better)	1940.5	
AICC (Smaller is Better)	1940.7	
BIC (Smaller is Better)	1948.2	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
3	164.67	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept		29.1415	1.2703	48	22.94	<.0001	
Treatment_Group	Augmentation	-2.0834	1.7635	208	-1.18	0.2388	
Treatment_Group	Control	0	.	.	.	.	
week		-2.7700	0.3548	48	-7.81	<.0001	
week*Treatment_Group	Augmentation	-0.6018	0.5054	208	-1.19	0.2352	
week*Treatment_Group	Control	0	.	.	.	.	

Solution for Random Effects	
Effect	Subject	Estimate	Std Err Pred	DF	t Value	Pr > |t|	
Intercept	1	1.1481	2.6522	208	0.43	0.6655	
week	1	-0.2935	0.7388	208	-0.40	0.6916	
Intercept	2	2.5137	2.6559	208	0.95	0.3450	
week	2	-1.4965	0.7840	208	-1.91	0.0577	
Intercept	3	-4.4424	2.7604	208	-1.61	0.1091	
week	3	-0.7271	1.3171	208	-0.55	0.5815	
Intercept	4	-1.6501	2.7073	208	-0.61	0.5429	
week	4	-0.2385	0.8531	208	-0.28	0.7801	
Intercept	5	6.9784	2.6522	208	2.63	0.0091	
week	5	-1.0132	0.7388	208	-1.37	0.1717	
Intercept	6	-1.2554	2.6522	208	-0.47	0.6365	
week	6	-1.4660	0.7388	208	-1.98	0.0485	
Intercept	7	3.3629	2.6522	208	1.27	0.2062	
week	7	-0.2467	0.7388	208	-0.33	0.7388	
Intercept	8	10.8198	2.6522	208	4.08	<.0001	
week	8	-2.5467	0.7388	208	-3.45	0.0007	
Intercept	9	-8.4175	2.7604	208	-3.05	0.0026	
week	9	-0.5764	1.3171	208	-0.44	0.6621	
Intercept	10	-1.8709	2.6522	208	-0.71	0.4813	
week	10	0.03408	0.7388	208	0.05	0.9633	
Intercept	11	-5.5153	2.6522	208	-2.08	0.0388	
week	11	0.6273	0.7388	208	0.85	0.3968	
Intercept	12	-1.9036	2.6522	208	-0.72	0.4737	
week	12	0.7791	0.7388	208	1.05	0.2928	
Intercept	13	3.1934	2.9013	208	1.10	0.2723	
week	13	-0.1431	1.4053	208	-0.10	0.9190	
Intercept	14	3.3436	2.9013	208	1.15	0.2505	
week	14	-0.3642	1.4053	208	-0.26	0.7958	
Intercept	15	4.3497	2.6522	208	1.64	0.1025	
week	15	-1.6480	0.7388	208	-2.23	0.0268	
Intercept	16	-3.8052	2.6522	208	-1.43	0.1529	
week	16	0.4847	0.7388	208	0.66	0.5125	
Intercept	17	-2.1260	2.6522	208	-0.80	0.4237	
week	17	0.6281	0.7388	208	0.85	0.3962	
Intercept	18	6.8132	2.7431	208	2.48	0.0138	
week	18	2.1108	0.9983	208	2.11	0.0357	
Intercept	19	-2.8449	2.6522	208	-1.07	0.2847	
week	19	1.9811	0.7388	208	2.68	0.0079	
Intercept	20	3.9266	2.6522	208	1.48	0.1402	
week	20	0.05948	0.7388	208	0.08	0.9359	
Intercept	21	-0.1254	2.6522	208	-0.05	0.9623	
week	21	2.2173	0.7388	208	3.00	0.0030	
Intercept	22	-2.1706	2.9013	208	-0.75	0.4552	
week	22	0.02393	1.4053	208	0.02	0.9864	
Intercept	23	3.7550	2.6522	208	1.42	0.1583	
week	23	2.0912	0.7388	208	2.83	0.0051	
Intercept	24	-7.9788	2.6522	208	-3.01	0.0030	
week	24	-0.4324	0.7388	208	-0.59	0.5590	
Intercept	25	-3.5439	2.6595	208	-1.33	0.1842	
week	25	0.2019	0.7506	208	0.27	0.7882	
Intercept	26	-2.5544	2.6522	208	-0.96	0.3366	
week	26	-0.04661	0.7388	208	-0.06	0.9498	
Intercept	27	-0.6866	2.6662	208	-0.26	0.7970	
week	27	-0.6674	0.7369	208	-0.91	0.3662	
Intercept	28	9.8709	2.6662	208	3.70	0.0003	
week	28	-1.3981	0.7369	208	-1.90	0.0592	
Intercept	29	-0.1347	2.7559	208	-0.05	0.9611	
week	29	1.7347	0.9975	208	1.74	0.0835	
Intercept	30	7.7640	2.8722	208	2.70	0.0074	
week	30	-1.8072	0.7432	208	-2.43	0.0159	
Intercept	31	1.5372	2.6662	208	0.58	0.5649	
week	31	0.8433	0.7369	208	1.14	0.2538	
Intercept	32	12.6884	2.6662	208	4.76	<.0001	
week	32	0.3624	0.7369	208	0.49	0.6234	
Intercept	33	-5.7806	2.6662	208	-2.17	0.0313	
week	33	-1.9029	0.7369	208	-2.58	0.0105	
Intercept	34	3.1330	2.6662	208	1.18	0.2413	
week	34	-0.4511	0.7369	208	-0.61	0.5411	
Intercept	35	3.1839	2.6662	208	1.19	0.2338	
week	35	-2.0278	0.7369	208	-2.75	0.0065	
Intercept	36	-6.2527	2.6662	208	-2.35	0.0200	
week	36	0.9222	0.7369	208	1.25	0.2122	
Intercept	37	2.6728	2.6662	208	1.00	0.3173	
week	37	-0.6103	0.7369	208	-0.83	0.4085	
Intercept	38	0.3218	2.6662	208	0.12	0.9040	
week	38	-0.05907	0.7369	208	-0.08	0.9362	
Intercept	39	-4.2766	2.6662	208	-1.60	0.1102	
week	39	1.1904	0.7369	208	1.62	0.1077	
Intercept	40	0.4362	2.9126	208	0.15	0.8811	
week	40	0.1788	1.4054	208	0.13	0.8989	
Intercept	41	-5.8142	2.6662	208	-2.18	0.0303	
week	41	-0.9283	0.7369	208	-1.26	0.2092	
Intercept	42	-7.1694	2.6662	208	-2.69	0.0077	
week	42	-0.3144	0.7369	208	-0.43	0.6701	
Intercept	43	2.6737	2.6662	208	1.00	0.3171	
week	43	-0.8399	0.7369	208	-1.14	0.2557	
Intercept	44	-3.4533	2.6662	208	-1.30	0.1967	
week	44	-0.2451	0.7369	208	-0.33	0.7397	
Intercept	45	0.02411	2.6662	208	0.01	0.9928	
week	45	0.04558	0.7369	208	0.06	0.9507	
Intercept	46	-0.6359	2.7559	208	-0.23	0.8177	
week	46	1.7200	0.9975	208	1.72	0.0862	
Intercept	47	-0.4220	2.7207	208	-0.16	0.8769	
week	47	2.7520	0.8518	208	3.23	0.0014	
Intercept	48	-3.3779	2.6662	208	-1.27	0.2066	
week	48	-0.5009	0.7369	208	-0.68	0.4975	
Intercept	49	-0.8419	2.6662	208	-0.32	0.7525	
week	49	0.9918	0.7369	208	1.35	0.1798	
Intercept	50	-5.4603	2.7559	208	-1.98	0.0489	
week	50	1.0112	0.9975	208	1.01	0.3119	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	208	1.40	0.2388	
week	1	48	147.66	<.0001	
week*Treatment_Group	1	208	1.42	0.2352	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Unstructured	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
Treatment_Group	2	Augmentation Control	

Dimensions	
Covariance Parameters	7	
Columns in X	9	
Columns in Z per Subject	3	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2094.44041480		
1	2	1864.86123736	0.00084832	
2	1	1864.20999730	0.00009222	
3	1	1864.14501127	0.00000148	
4	1	1864.14402998	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
UN(1,1)	id	29.0343	
UN(2,1)	id	-5.8366	
UN(2,2)	id	15.8149	
UN(3,1)	id	0.1212	
UN(3,2)	id	-1.9877	
UN(3,3)	id	0.2911	
Residual		10.7206	

Fit Statistics	
-2 Res Log Likelihood	1864.1	
AIC (Smaller is Better)	1878.1	
AICC (Smaller is Better)	1878.5	
BIC (Smaller is Better)	1891.5	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
6	230.30	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept		30.5180	1.2471	48	24.47	<.0001	
Treatment_Group	Augmentation	-1.5190	1.7314	162	-0.88	0.3816	
Treatment_Group	Control	0	.	.	.	.	
week		-4.4857	0.9507	48	-4.72	<.0001	
week*Treatment_Group	Augmentation	-1.4797	1.3336	162	-1.11	0.2688	
week*Treatment_Group	Control	0	.	.	.	.	
week*week		0.2996	0.1377	44	2.18	0.0350	
week*week*Treatment_	Augmentation	0.1537	0.1931	162	0.80	0.4272	
week*week*Treatment_	Control	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	162	0.77	0.3816	
week	1	48	61.41	<.0001	
week*Treatment_Group	1	162	1.23	0.2688	
week*week	1	44	15.21	0.0003	
week*week*Treatment_	1	162	0.63	0.4272	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Unstructured	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
Treatment_Group	2	Augmentation Control	

Dimensions	
Covariance Parameters	4	
Columns in X	6	
Columns in Z per Subject	2	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2087.08935283		
1	2	1889.85196678	0.00026373	
2	1	1889.65988621	0.00000686	
3	1	1889.65523307	0.00000001	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
UN(1,1)	id	33.6549	
UN(2,1)	id	-14.0025	
UN(2,2)	id	23.0671	
Residual		14.8564	

Fit Statistics	
-2 Res Log Likelihood	1889.7	
AIC (Smaller is Better)	1897.7	
AICC (Smaller is Better)	1897.8	
BIC (Smaller is Better)	1905.3	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
3	197.43	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept		31.4826	1.3529	48	23.27	<.0001	
Treatment_Group	Augmentation	-1.6816	1.8785	208	-0.90	0.3717	
Treatment_Group	Control	0	.	.	.	.	
lweek		-8.6926	1.1104	48	-7.83	<.0001	
lweek*Treatment_Grou	Augmentation	-1.7463	1.5666	208	-1.11	0.2663	
lweek*Treatment_Grou	Control	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	208	0.80	0.3717	
lweek	1	48	149.13	<.0001	
lweek*Treatment_Grou	1	208	1.24	0.2663	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Variance Components	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	

Dimensions	
Covariance Parameters	2	
Columns in X	6	
Columns in Z per Subject	1	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2097.18779089		
1	2	1976.70801943	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
Intercept	id	27.9881	
Residual		26.4990	

Fit Statistics	
-2 Res Log Likelihood	1976.7	
AIC (Smaller is Better)	1980.7	
AICC (Smaller is Better)	1980.7	
BIC (Smaller is Better)	1984.5	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	256	1.69	0.1949	
week	1	256	434.92	<.0001	
week*Treatment_Group	1	256	1.45	0.2292	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Variance Components	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	

Dimensions	
Covariance Parameters	3	
Columns in X	6	
Columns in Z per Subject	2	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2097.18779089		
1	2	1937.91242902	0.00244118	
2	1	1935.87372866	0.00044982	
3	1	1935.52497689	0.00002277	
4	1	1935.50873634	0.00000007	
5	1	1935.50868557	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
Intercept	id	25.8776	
week	id	1.8784	
Residual		18.2226	

Fit Statistics	
-2 Res Log Likelihood	1935.5	
AIC (Smaller is Better)	1941.5	
AICC (Smaller is Better)	1941.6	
BIC (Smaller is Better)	1947.2	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	208	1.56	0.2134	
week	1	48	162.39	<.0001	
week*Treatment_Group	1	208	1.55	0.2143	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Unstructured	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	

Dimensions	
Covariance Parameters	4	
Columns in X	6	
Columns in Z per Subject	2	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2097.18779089		
1	2	1932.91183890	0.00047829	
2	1	1932.54076803	0.00002540	
3	1	1932.52266751	0.00000009	
4	1	1932.52260671	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
UN(1,1)	id	29.9685	
UN(2,1)	id	-2.6210	
UN(2,2)	id	2.1521	
Residual		17.8437	

Fit Statistics	
-2 Res Log Likelihood	1932.5	
AIC (Smaller is Better)	1940.5	
AICC (Smaller is Better)	1940.7	
BIC (Smaller is Better)	1948.2	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
3	164.67	<.0001	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	208	1.40	0.2388	
week	1	48	147.66	<.0001	
week*Treatment_Group	1	208	1.42	0.2352	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Variance Components	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	

Dimensions	
Covariance Parameters	4	
Columns in X	9	
Columns in Z per Subject	3	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2094.44041480		
1	2	1915.12755869	0.00521617	
2	1	1910.71633667	0.00141305	
3	1	1909.59015457	0.00015976	
4	1	1909.47339471	0.00000276	
5	1	1909.47150488	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
Intercept	id	27.3659	
week	id	2.3060	
week*week	id	0.02173	
Residual		14.5610	

Fit Statistics	
-2 Res Log Likelihood	1909.5	
AIC (Smaller is Better)	1917.5	
AICC (Smaller is Better)	1917.6	
BIC (Smaller is Better)	1925.1	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	162	0.82	0.3661	
week	1	48	138.42	<.0001	
week*Treatment_Group	1	162	1.98	0.1612	
week2	1	162	32.51	<.0001	
week2*Treatment_Grou	1	162	0.54	0.4651	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Unstructured	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	

Dimensions	
Covariance Parameters	7	
Columns in X	9	
Columns in Z per Subject	3	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2094.44041480		
1	2	1864.86123736	0.00084832	
2	1	1864.20999730	0.00009222	
3	1	1864.14501127	0.00000148	
4	1	1864.14402998	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
UN(1,1)	id	29.0343	
UN(2,1)	id	-5.8366	
UN(2,2)	id	15.8149	
UN(3,1)	id	0.1212	
UN(3,2)	id	-1.9877	
UN(3,3)	id	0.2911	
Residual		10.7206	

Fit Statistics	
-2 Res Log Likelihood	1864.1	
AIC (Smaller is Better)	1878.1	
AICC (Smaller is Better)	1878.5	
BIC (Smaller is Better)	1891.5	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
6	230.30	<.0001	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	162	0.77	0.3816	
week	1	48	61.41	<.0001	
week*Treatment_Group	1	162	1.23	0.2688	
week2	1	162	15.21	0.0001	
week2*Treatment_Grou	1	162	0.63	0.4272	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Compound Symmetry	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Satterthwaite	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	7	0 1 2 3 4 5 6	

Dimensions	
Covariance Parameters	2	
Columns in X	24	
Columns in Z	0	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2048.37597965		
1	2	1923.09989783	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
CS	id	28.2676	
Residual		25.1642	

Fit Statistics	
-2 Res Log Likelihood	1923.1	
AIC (Smaller is Better)	1927.1	
AICC (Smaller is Better)	1927.1	
BIC (Smaller is Better)	1930.9	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
1	125.28	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	week	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			12.1582	1.5986	145	7.61	<.0001	
Treatment_Group	Augmentation		-3.4054	2.2489	150	-1.51	0.1321	
Treatment_Group	Control		0	.	.	.	.	
week		0	18.9252	1.5577	249	12.15	<.0001	
week		1	13.9668	1.5577	249	8.97	<.0001	
week		2	8.8452	1.5871	248	5.57	<.0001	
week		3	7.7543	1.5871	248	4.89	<.0001	
week		4	6.4474	1.5672	248	4.11	<.0001	
week		5	2.2309	1.6100	247	1.39	0.1671	
week		6	0	.	.	.	.	
Treatment_Group*week	Augmentation	0	1.5913	2.1929	250	0.73	0.4687	
Treatment_Group*week	Augmentation	1	0.5497	2.1929	250	0.25	0.8023	
Treatment_Group*week	Augmentation	2	0.9179	2.2325	249	0.41	0.6813	
Treatment_Group*week	Augmentation	3	-1.4847	2.2498	248	-0.66	0.5099	
Treatment_Group*week	Augmentation	4	-1.5740	2.2516	248	-0.70	0.4852	
Treatment_Group*week	Augmentation	5	-0.5106	2.2938	247	-0.22	0.8240	
Treatment_Group*week	Augmentation	6	0	.	.	.	.	
Treatment_Group*week	Control	0	0	.	.	.	.	
Treatment_Group*week	Control	1	0	.	.	.	.	
Treatment_Group*week	Control	2	0	.	.	.	.	
Treatment_Group*week	Control	3	0	.	.	.	.	
Treatment_Group*week	Control	4	0	.	.	.	.	
Treatment_Group*week	Control	5	0	.	.	.	.	
Treatment_Group*week	Control	6	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	48.4	4.59	0.0373	
week	6	249	79.92	<.0001	
Treatment_Group*week	6	249	0.63	0.7100	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Autoregressive	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Satterthwaite	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	7	0 1 2 3 4 5 6	

Dimensions	
Covariance Parameters	2	
Columns in X	24	
Columns in Z	0	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2048.37597965		
1	2	1823.28163392	0.00000445	
2	1	1823.27877286	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
AR(1)	id	0.7664	
Residual		52.0513	

Fit Statistics	
-2 Res Log Likelihood	1823.3	
AIC (Smaller is Better)	1827.3	
AICC (Smaller is Better)	1827.3	
BIC (Smaller is Better)	1831.1	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
1	225.10	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	week	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			13.1543	1.5923	133	8.26	<.0001	
Treatment_Group	Augmentation		-3.9884	2.2600	133	-1.76	0.0799	
Treatment_Group	Control		0	.	.	.	.	
week		0	17.9291	1.9557	249	9.17	<.0001	
week		1	12.9707	1.8860	270	6.88	<.0001	
week		2	8.0278	1.8040	289	4.45	<.0001	
week		3	6.8315	1.6710	293	4.09	<.0001	
week		4	5.5107	1.4639	281	3.76	0.0002	
week		5	2.0269	1.1228	242	1.81	0.0723	
week		6	0	.	.	.	.	
Treatment_Group*week	Augmentation	0	2.1743	2.7546	245	0.79	0.4307	
Treatment_Group*week	Augmentation	1	1.1326	2.6594	266	0.43	0.6705	
Treatment_Group*week	Augmentation	2	1.3809	2.5457	288	0.54	0.5879	
Treatment_Group*week	Augmentation	3	-1.0805	2.3643	293	-0.46	0.6480	
Treatment_Group*week	Augmentation	4	-0.9907	2.0829	279	-0.48	0.6347	
Treatment_Group*week	Augmentation	5	-0.4189	1.6011	241	-0.26	0.7938	
Treatment_Group*week	Augmentation	6	0	.	.	.	.	
Treatment_Group*week	Control	0	0	.	.	.	.	
Treatment_Group*week	Control	1	0	.	.	.	.	
Treatment_Group*week	Control	2	0	.	.	.	.	
Treatment_Group*week	Control	3	0	.	.	.	.	
Treatment_Group*week	Control	4	0	.	.	.	.	
Treatment_Group*week	Control	5	0	.	.	.	.	
Treatment_Group*week	Control	6	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	57.4	5.15	0.0270	
week	6	231	37.04	<.0001	
Treatment_Group*week	6	231	0.60	0.7282	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Toeplitz	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Satterthwaite	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	7	0 1 2 3 4 5 6	

Dimensions	
Covariance Parameters	7	
Columns in X	24	
Columns in Z	0	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2048.37597965		
1	2	1819.01911412	0.00041900	
2	1	1818.73061128	0.00000730	
3	1	1818.72588274	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
TOEP(2)	id	40.3109	
TOEP(3)	id	30.9700	
TOEP(4)	id	20.9264	
TOEP(5)	id	11.6784	
TOEP(6)	id	2.2493	
TOEP(7)	id	-2.0630	
Residual		52.4984	

Fit Statistics	
-2 Res Log Likelihood	1818.7	
AIC (Smaller is Better)	1832.7	
AICC (Smaller is Better)	1833.1	
BIC (Smaller is Better)	1846.1	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
6	229.65	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	week	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			13.5121	1.5945	136	8.47	<.0001	
Treatment_Group	Augmentation		-4.1931	2.2685	135	-1.85	0.0667	
Treatment_Group	Control		0	.	.	.	.	
week		0	17.5713	2.2140	56.6	7.94	<.0001	
week		1	12.6129	2.1313	73.5	5.92	<.0001	
week		2	7.6931	1.9473	95.6	3.95	0.0001	
week		3	6.5030	1.7352	131	3.75	0.0003	
week		4	5.1933	1.4565	180	3.57	0.0005	
week		5	1.7940	1.1184	244	1.60	0.1100	
week		6	0	.	.	.	.	
Treatment_Group*week	Augmentation	0	2.3790	3.1118	58.6	0.76	0.4476	
Treatment_Group*week	Augmentation	1	1.3374	2.9987	75.7	0.45	0.6569	
Treatment_Group*week	Augmentation	2	1.5626	2.7431	98	0.57	0.5702	
Treatment_Group*week	Augmentation	3	-0.8929	2.4484	133	-0.36	0.7159	
Treatment_Group*week	Augmentation	4	-0.8132	2.0663	183	-0.39	0.6944	
Treatment_Group*week	Augmentation	5	-0.3010	1.5919	243	-0.19	0.8502	
Treatment_Group*week	Augmentation	6	0	.	.	.	.	
Treatment_Group*week	Control	0	0	.	.	.	.	
Treatment_Group*week	Control	1	0	.	.	.	.	
Treatment_Group*week	Control	2	0	.	.	.	.	
Treatment_Group*week	Control	3	0	.	.	.	.	
Treatment_Group*week	Control	4	0	.	.	.	.	
Treatment_Group*week	Control	5	0	.	.	.	.	
Treatment_Group*week	Control	6	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	58.1	5.69	0.0203	
week	6	93.4	30.19	<.0001	
Treatment_Group*week	6	93.4	0.56	0.7607	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Heterogeneous Compound Symmetry	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	None	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Satterthwaite	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	7	0 1 2 3 4 5 6	

Dimensions	
Covariance Parameters	8	
Columns in X	24	
Columns in Z	0	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2048.37597965		
1	2	1917.83317458	0.00053028	
2	1	1917.42532835	0.00002385	
3	1	1917.40833732	0.00000007	
4	1	1917.40828852	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
Var(1)	id	50.2127	
Var(2)	id	40.6644	
Var(3)	id	56.9282	
Var(4)	id	62.2591	
Var(5)	id	65.9039	
Var(6)	id	51.1450	
Var(7)	id	45.1432	
CSH	id	0.5280	

Fit Statistics	
-2 Res Log Likelihood	1917.4	
AIC (Smaller is Better)	1933.4	
AICC (Smaller is Better)	1933.9	
BIC (Smaller is Better)	1948.7	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
7	130.97	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	week	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			12.0595	1.4696	41.2	8.21	<.0001	
Treatment_Group	Augmentation		-3.3299	2.0675	41.6	-1.61	0.1148	
Treatment_Group	Control		0	.	.	.	.	
week		0	19.0239	1.4688	99.2	12.95	<.0001	
week		1	14.0655	1.4032	91.4	10.02	<.0001	
week		2	8.9608	1.5503	98.4	5.78	<.0001	
week		3	7.8749	1.5919	95.9	4.95	<.0001	
week		4	6.5512	1.5967	94.3	4.10	<.0001	
week		5	2.2781	1.5300	88.3	1.49	0.1401	
week		6	0	.	.	.	.	
Treatment_Group*week	Augmentation	0	1.5158	2.0663	98.8	0.73	0.4649	
Treatment_Group*week	Augmentation	1	0.4742	1.9768	90.2	0.24	0.8110	
Treatment_Group*week	Augmentation	2	0.8381	2.1788	98.4	0.38	0.7013	
Treatment_Group*week	Augmentation	3	-1.6449	2.2587	95.6	-0.73	0.4682	
Treatment_Group*week	Augmentation	4	-1.7609	2.3019	93.4	-0.76	0.4462	
Treatment_Group*week	Augmentation	5	-0.5569	2.1807	88.2	-0.26	0.7990	
Treatment_Group*week	Augmentation	6	0	.	.	.	.	
Treatment_Group*week	Control	0	0	.	.	.	.	
Treatment_Group*week	Control	1	0	.	.	.	.	
Treatment_Group*week	Control	2	0	.	.	.	.	
Treatment_Group*week	Control	3	0	.	.	.	.	
Treatment_Group*week	Control	4	0	.	.	.	.	
Treatment_Group*week	Control	5	0	.	.	.	.	
Treatment_Group*week	Control	6	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	48.2	4.67	0.0357	
week	6	97.8	88.16	<.0001	
Treatment_Group*week	6	97.8	0.61	0.7254	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Heterogeneous Autoregressive	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	None	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Satterthwaite	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	7	0 1 2 3 4 5 6	

Dimensions	
Covariance Parameters	8	
Columns in X	24	
Columns in Z	0	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2048.37597965		
1	2	1824.43085421	0.01164306	
2	1	1815.50392017	0.00218693	
3	1	1813.86796174	0.00025274	
4	1	1813.69320973	0.00000534	
5	1	1813.68975772	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
Var(1)	id	52.4143	
Var(2)	id	60.4370	
Var(3)	id	74.9910	
Var(4)	id	66.3004	
Var(5)	id	55.5044	
Var(6)	id	41.6348	
Var(7)	id	37.9594	
ARH(1)	id	0.7928	

Fit Statistics	
-2 Res Log Likelihood	1813.7	
AIC (Smaller is Better)	1829.7	
AICC (Smaller is Better)	1830.2	
BIC (Smaller is Better)	1845.0	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
7	234.69	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	week	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			13.0646	1.3530	52.6	9.66	<.0001	
Treatment_Group	Augmentation		-3.9050	1.9201	52.7	-2.03	0.0470	
Treatment_Group	Control		0	.	.	.	.	
week		0	18.0188	1.7582	121	10.25	<.0001	
week		1	13.0604	1.7603	133	7.42	<.0001	
week		2	8.1552	1.8069	124	4.51	<.0001	
week		3	6.9370	1.6021	132	4.33	<.0001	
week		4	5.6038	1.3176	120	4.25	<.0001	
week		5	2.0220	0.9243	79.9	2.19	0.0316	
week		6	0	.	.	.	.	
Treatment_Group*week	Augmentation	0	2.0909	2.4721	122	0.85	0.3993	
Treatment_Group*week	Augmentation	1	1.0492	2.4749	133	0.42	0.6723	
Treatment_Group*week	Augmentation	2	1.2810	2.5387	126	0.50	0.6147	
Treatment_Group*week	Augmentation	3	-1.1460	2.2637	132	-0.51	0.6135	
Treatment_Group*week	Augmentation	4	-1.0240	1.8776	119	-0.55	0.5865	
Treatment_Group*week	Augmentation	5	-0.4115	1.3184	80	-0.31	0.7558	
Treatment_Group*week	Augmentation	6	0	.	.	.	.	
Treatment_Group*week	Control	0	0	.	.	.	.	
Treatment_Group*week	Control	1	0	.	.	.	.	
Treatment_Group*week	Control	2	0	.	.	.	.	
Treatment_Group*week	Control	3	0	.	.	.	.	
Treatment_Group*week	Control	4	0	.	.	.	.	
Treatment_Group*week	Control	5	0	.	.	.	.	
Treatment_Group*week	Control	6	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	49.9	4.51	0.0387	
week	6	171	44.47	<.0001	
Treatment_Group*week	6	171	0.54	0.7751	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Heterogeneous Toeplitz	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	None	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Satterthwaite	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	7	0 1 2 3 4 5 6	

Dimensions	
Covariance Parameters	13	
Columns in X	24	
Columns in Z	0	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2048.37597965		
1	2	1823.74563217	0.01624890	
2	1	1811.15890418	0.00326872	
3	1	1808.74003163	0.00036243	
4	1	1808.48886992	0.00000914	
5	1	1808.48296568	0.00000001	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
Var(1)	id	54.6999	
Var(2)	id	61.5751	
Var(3)	id	77.0465	
Var(4)	id	66.4779	
Var(5)	id	56.1213	
Var(6)	id	40.8068	
Var(7)	id	39.0905	
TOEPH(1)	id	0.7975	
TOEPH(2)	id	0.6359	
TOEPH(3)	id	0.4582	
TOEPH(4)	id	0.2966	
TOEPH(5)	id	0.1278	
TOEPH(6)	id	0.04162	

Fit Statistics	
-2 Res Log Likelihood	1808.5	
AIC (Smaller is Better)	1834.5	
AICC (Smaller is Better)	1835.8	
BIC (Smaller is Better)	1859.3	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
12	239.89	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	week	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			13.3853	1.3698	52.4	9.77	<.0001	
Treatment_Group	Augmentation		-4.0953	1.9492	52.2	-2.10	0.0405	
Treatment_Group	Control		0	.	.	.	.	
week		0	17.6980	1.9988	49.5	8.85	<.0001	
week		1	12.7397	1.9798	57.5	6.43	<.0001	
week		2	7.8638	1.9451	69.2	4.04	0.0001	
week		3	6.6425	1.6547	91.6	4.01	0.0001	
week		4	5.3218	1.3098	104	4.06	<.0001	
week		5	1.7834	0.9110	77.3	1.96	0.0539	
week		6	0	.	.	.	.	
Treatment_Group*week	Augmentation	0	2.2812	2.8061	50.6	0.81	0.4201	
Treatment_Group*week	Augmentation	1	1.2395	2.7801	58.5	0.45	0.6573	
Treatment_Group*week	Augmentation	2	1.4436	2.7296	70.1	0.53	0.5986	
Treatment_Group*week	Augmentation	3	-0.9605	2.3317	92.3	-0.41	0.6813	
Treatment_Group*week	Augmentation	4	-0.8513	1.8602	104	-0.46	0.6482	
Treatment_Group*week	Augmentation	5	-0.2563	1.2967	77.4	-0.20	0.8439	
Treatment_Group*week	Augmentation	6	0	.	.	.	.	
Treatment_Group*week	Control	0	0	.	.	.	.	
Treatment_Group*week	Control	1	0	.	.	.	.	
Treatment_Group*week	Control	2	0	.	.	.	.	
Treatment_Group*week	Control	3	0	.	.	.	.	
Treatment_Group*week	Control	4	0	.	.	.	.	
Treatment_Group*week	Control	5	0	.	.	.	.	
Treatment_Group*week	Control	6	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	49.4	4.78	0.0336	
week	6	61.3	36.18	<.0001	
Treatment_Group*week	6	61.3	0.50	0.8092	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Unstructured	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	None	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Satterthwaite	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	7	0 1 2 3 4 5 6	

Dimensions	
Covariance Parameters	28	
Columns in X	24	
Columns in Z	0	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2048.37597965		
1	3	1790.08423449	0.02547073	
2	2	1783.81120435	0.00844024	
3	1	1777.46391896	0.00206505	
4	1	1775.96585824	0.00023823	
5	1	1775.80573112	0.00000540	
6	1	1775.80234021	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
UN(1,1)	id	37.8947	
UN(2,1)	id	24.9557	
UN(2,2)	id	40.8275	
UN(3,1)	id	15.5318	
UN(3,2)	id	31.6460	
UN(3,3)	id	58.1885	
UN(4,1)	id	12.5257	
UN(4,2)	id	33.7627	
UN(4,3)	id	45.9691	
UN(4,4)	id	69.2447	
UN(5,1)	id	9.5256	
UN(5,2)	id	26.6338	
UN(5,3)	id	40.5510	
UN(5,4)	id	63.1960	
UN(5,5)	id	72.2737	
UN(6,1)	id	4.3878	
UN(6,2)	id	17.2524	
UN(6,3)	id	33.2148	
UN(6,4)	id	48.3486	
UN(6,5)	id	59.2077	
UN(6,6)	id	61.8453	
UN(7,1)	id	3.0737	
UN(7,2)	id	10.9771	
UN(7,3)	id	27.7651	
UN(7,4)	id	41.7109	
UN(7,5)	id	53.6880	
UN(7,6)	id	55.7333	
UN(7,7)	id	60.8892	

Fit Statistics	
-2 Res Log Likelihood	1775.8	
AIC (Smaller is Better)	1831.8	
AICC (Smaller is Better)	1837.9	
BIC (Smaller is Better)	1885.3	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
27	272.57	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	week	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			14.0171	1.6673	32.6	8.41	<.0001	
Treatment_Group	Augmentation		-4.7829	2.3812	32.4	-2.01	0.0530	
Treatment_Group	Control		0	.	.	.	.	
week		0	17.0662	2.0255	41	8.43	<.0001	
week		1	12.1079	1.8885	35.1	6.41	<.0001	
week		2	7.1220	1.7134	40.7	4.16	0.0002	
week		3	6.0631	1.4708	40.6	4.12	0.0002	
week		4	4.7359	1.1174	40.4	4.24	0.0001	
week		5	1.5455	0.7604	37.1	2.03	0.0493	
week		6	0	.	.	.	.	
Treatment_Group*week	Augmentation	0	2.9688	2.8660	41.3	1.04	0.3063	
Treatment_Group*week	Augmentation	1	1.9271	2.6800	35.3	0.72	0.4768	
Treatment_Group*week	Augmentation	2	2.2299	2.4304	40.2	0.92	0.3644	
Treatment_Group*week	Augmentation	3	-0.3940	2.0809	40.6	-0.19	0.8508	
Treatment_Group*week	Augmentation	4	-0.3992	1.5814	41.1	-0.25	0.8020	
Treatment_Group*week	Augmentation	5	-0.06569	1.0822	37.7	-0.06	0.9519	
Treatment_Group*week	Augmentation	6	0	.	.	.	.	
Treatment_Group*week	Control	0	0	.	.	.	.	
Treatment_Group*week	Control	1	0	.	.	.	.	
Treatment_Group*week	Control	2	0	.	.	.	.	
Treatment_Group*week	Control	3	0	.	.	.	.	
Treatment_Group*week	Control	4	0	.	.	.	.	
Treatment_Group*week	Control	5	0	.	.	.	.	
Treatment_Group*week	Control	6	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	45.6	5.05	0.0295	
week	6	39.9	31.50	<.0001	
Treatment_Group*week	6	39.9	0.44	0.8494	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structures	Variance Components, Autoregressive	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Satterthwaite	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	7	0 1 2 3 4 5 6	

Dimensions	
Covariance Parameters	3	
Columns in X	24	
Columns in Z	50	
Subjects	1	
Max Obs per Subject	308	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2048.37597965		
1	4	1825.15156791	.	
2	1	1823.30611801	0.00004223	
3	1	1823.27877818	0.00000001	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
id		0	
AR(1)	id	0.7665	
Residual		52.0624	

Fit Statistics	
-2 Res Log Likelihood	1823.3	
AIC (Smaller is Better)	1827.3	
AICC (Smaller is Better)	1827.3	
BIC (Smaller is Better)	1831.1	

Solution for Fixed Effects	
Effect	Treatment_Group	week	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			13.1545	1.5924	133	8.26	<.0001	
Treatment_Group	Augmentation		-3.9886	2.2603	133	-1.76	0.0799	
Treatment_Group	Control		0	.	.	.	.	
week		0	17.9289	1.9558	249	9.17	<.0001	
week		1	12.9705	1.8861	270	6.88	<.0001	
week		2	8.0276	1.8040	289	4.45	<.0001	
week		3	6.8313	1.6710	293	4.09	<.0001	
week		4	5.5105	1.4639	281	3.76	0.0002	
week		5	2.0268	1.1228	242	1.81	0.0723	
week		6	0	.	.	.	.	
Treatment_Group*week	Augmentation	0	2.1745	2.7547	245	0.79	0.4307	
Treatment_Group*week	Augmentation	1	1.1329	2.6595	266	0.43	0.6705	
Treatment_Group*week	Augmentation	2	1.3811	2.5457	288	0.54	0.5879	
Treatment_Group*week	Augmentation	3	-1.0803	2.3643	293	-0.46	0.6481	
Treatment_Group*week	Augmentation	4	-0.9906	2.0829	279	-0.48	0.6347	
Treatment_Group*week	Augmentation	5	-0.4188	1.6011	241	-0.26	0.7939	
Treatment_Group*week	Augmentation	6	0	.	.	.	.	
Treatment_Group*week	Control	0	0	.	.	.	.	
Treatment_Group*week	Control	1	0	.	.	.	.	
Treatment_Group*week	Control	2	0	.	.	.	.	
Treatment_Group*week	Control	3	0	.	.	.	.	
Treatment_Group*week	Control	4	0	.	.	.	.	
Treatment_Group*week	Control	5	0	.	.	.	.	
Treatment_Group*week	Control	6	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	57.3	5.15	0.0270	
week	6	231	37.04	<.0001	
Treatment_Group*week	6	231	0.60	0.7282	

orpol	
0.3779645	-0.566947	0.5455447	-0.408248	
0.3779645	-0.377964	1.11E-16	0.4082483	
0.3779645	-0.188982	-0.327327	0.4082483	
0.3779645	0	-0.436436	0	
0.3779645	0.1889822	-0.327327	-0.408248	
0.3779645	0.3779645	1.11E-16	-0.408248	
0.3779645	0.5669467	0.5455447	0.4082483	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Autoregressive	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Satterthwaite	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	7	0 1 2 3 4 5 6	

Dimensions	
Covariance Parameters	2	
Columns in X	24	
Columns in Z	0	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2048.37597965		
1	2	1823.28163392	0.00000445	
2	1	1823.27877286	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	Standard Error	Z Value	Pr Z	
AR(1)	id	0.7664	0.03319	23.09	<.0001	
Residual		52.0513	6.8590	7.59	<.0001	

Fit Statistics	
-2 Res Log Likelihood	1823.3	
AIC (Smaller is Better)	1827.3	
AICC (Smaller is Better)	1827.3	
BIC (Smaller is Better)	1831.1	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
1	225.10	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	week	Estimate	Standard Error	DF	t Value	Pr > |t|	Alpha	Lower	Upper	
Intercept			13.1543	1.5923	133	8.26	<.0001	0.05	10.0047	16.3038	
Treatment_Group	Augmentation		-3.9884	2.2600	133	-1.76	0.0799	0.05	-8.4587	0.4819	
Treatment_Group	Control		0	.	.	.	.	.	.	.	
week		0	17.9291	1.9557	249	9.17	<.0001	0.05	14.0771	21.7810	
week		1	12.9707	1.8860	270	6.88	<.0001	0.05	9.2576	16.6839	
week		2	8.0278	1.8040	289	4.45	<.0001	0.05	4.4772	11.5783	
week		3	6.8315	1.6710	293	4.09	<.0001	0.05	3.5428	10.1202	
week		4	5.5107	1.4639	281	3.76	0.0002	0.05	2.6291	8.3923	
week		5	2.0269	1.1228	242	1.81	0.0723	0.05	-0.1848	4.2387	
week		6	0	.	.	.	.	.	.	.	
Treatment_Group*week	Augmentation	0	2.1743	2.7546	245	0.79	0.4307	0.05	-3.2514	7.6000	
Treatment_Group*week	Augmentation	1	1.1326	2.6594	266	0.43	0.6705	0.05	-4.1035	6.3688	
Treatment_Group*week	Augmentation	2	1.3809	2.5457	288	0.54	0.5879	0.05	-3.6296	6.3914	
Treatment_Group*week	Augmentation	3	-1.0805	2.3643	293	-0.46	0.6480	0.05	-5.7336	3.5727	
Treatment_Group*week	Augmentation	4	-0.9907	2.0829	279	-0.48	0.6347	0.05	-5.0909	3.1095	
Treatment_Group*week	Augmentation	5	-0.4189	1.6011	241	-0.26	0.7938	0.05	-3.5729	2.7351	
Treatment_Group*week	Augmentation	6	0	.	.	.	.	.	.	.	
Treatment_Group*week	Control	0	0	.	.	.	.	.	.	.	
Treatment_Group*week	Control	1	0	.	.	.	.	.	.	.	
Treatment_Group*week	Control	2	0	.	.	.	.	.	.	.	
Treatment_Group*week	Control	3	0	.	.	.	.	.	.	.	
Treatment_Group*week	Control	4	0	.	.	.	.	.	.	.	
Treatment_Group*week	Control	5	0	.	.	.	.	.	.	.	
Treatment_Group*week	Control	6	0	.	.	.	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	57.4	5.15	0.0270	
week	6	231	37.04	<.0001	
Treatment_Group*week	6	231	0.60	0.7282	

Contrasts	
Label	Num DF	Den DF	F Value	Pr > F	
Linear trend	1	237	159.06	<.0001	
Quadratic trend	1	276	13.90	0.0002	
Cubic trend	1	233	5.37	0.0213	
Linear treatment by week	1	237	0.81	0.3698	
Quadratic treatment by week	1	276	0.83	0.3634	
Cubic treatment by week	1	233	0.32	0.5733	

Least Squares Means	
Effect	week	Estimate	Standard Error	DF	t Value	Pr > |t|	Alpha	Lower	Upper	
week	0	30.1763	1.0211	115	29.55	<.0001	0.05	28.1537	32.1989	
week	1	24.6971	1.0211	115	24.19	<.0001	0.05	22.6745	26.7197	
week	2	19.8782	1.0431	123	19.06	<.0001	0.05	17.8134	21.9431	
week	3	17.4513	1.0639	127	16.40	<.0001	0.05	15.3461	19.5565	
week	4	16.1754	1.0756	127	15.04	<.0001	0.05	14.0469	18.3039	
week	5	12.9775	1.1048	132	11.75	<.0001	0.05	10.7920	15.1630	
week	6	11.1600	1.1300	133	9.88	<.0001	0.05	8.9249	13.3952	

Differences of Least Squares Means	
Effect	week	_week	Estimate	Standard Error	DF	t Value	Pr > |t|	Adjustment	Adj P	Alpha	Lower	Upper	
week	0	1	5.4792	0.6979	240	7.85	<.0001	Tukey-Kramer	<.0001	0.05	4.1043	6.8540	
week	0	2	10.2980	0.9517	276	10.82	<.0001	Tukey-Kramer	<.0001	0.05	8.4245	12.1716	
week	0	3	12.7250	1.1116	293	11.45	<.0001	Tukey-Kramer	<.0001	0.05	10.5373	14.9127	
week	0	4	14.0009	1.2166	288	11.51	<.0001	Tukey-Kramer	<.0001	0.05	11.6064	16.3954	
week	0	5	17.1988	1.3084	269	13.15	<.0001	Tukey-Kramer	<.0001	0.05	14.6228	19.7747	
week	0	6	19.0162	1.3773	245	13.81	<.0001	Tukey-Kramer	<.0001	0.05	16.3034	21.7291	
week	1	2	4.8189	0.7297	242	6.60	<.0001	Tukey-Kramer	<.0001	0.05	3.3815	6.2562	
week	1	3	7.2458	0.9744	279	7.44	<.0001	Tukey-Kramer	<.0001	0.05	5.3277	9.1640	
week	1	4	8.5217	1.1228	294	7.59	<.0001	Tukey-Kramer	<.0001	0.05	6.3119	10.7315	
week	1	5	11.7196	1.2425	287	9.43	<.0001	Tukey-Kramer	<.0001	0.05	9.2740	14.1651	
week	1	6	13.5371	1.3297	266	10.18	<.0001	Tukey-Kramer	<.0001	0.05	10.9190	16.1552	
week	2	3	2.4270	0.7463	241	3.25	0.0013	Tukey-Kramer	0.0221	0.05	0.9568	3.8971	
week	2	4	3.7028	0.9884	278	3.75	0.0002	Tukey-Kramer	0.0042	0.05	1.7572	5.6485	
week	2	5	6.9007	1.1562	294	5.97	<.0001	Tukey-Kramer	<.0001	0.05	4.6252	9.1763	
week	2	6	8.7182	1.2728	288	6.85	<.0001	Tukey-Kramer	<.0001	0.05	6.2129	11.2235	
week	3	4	1.2759	0.7531	239	1.69	0.0915	Tukey-Kramer	0.6207	0.05	-0.2077	2.7594	
week	3	5	4.4737	1.0164	276	4.40	<.0001	Tukey-Kramer	0.0003	0.05	2.4729	6.4746	
week	3	6	6.2912	1.1822	293	5.32	<.0001	Tukey-Kramer	<.0001	0.05	3.9646	8.6178	
week	4	5	3.1979	0.7859	242	4.07	<.0001	Tukey-Kramer	0.0013	0.05	1.6498	4.7459	
week	4	6	5.0154	1.0415	279	4.82	<.0001	Tukey-Kramer	<.0001	0.05	2.9653	7.0655	
week	5	6	1.8175	0.8006	241	2.27	0.0241	Tukey-Kramer	0.2631	0.05	0.2405	3.3945	

Differences of Least Squares Means	
Effect	week	_week	Adj Lower	Adj Upper	
week	0	1	3.4032	7.5551	
week	0	2	7.4671	13.1290	
week	0	3	9.4185	16.0315	
week	0	4	10.3822	17.6196	
week	0	5	13.3069	21.0906	
week	0	6	14.9194	23.1131	
week	1	2	2.6484	6.9894	
week	1	3	4.3473	10.1444	
week	1	4	5.1818	11.8616	
week	1	5	8.0237	15.4154	
week	1	6	9.5818	17.4924	
week	2	3	0.2070	4.6469	
week	2	4	0.7629	6.6428	
week	2	5	3.4615	10.3400	
week	2	6	4.9321	12.5043	
week	3	4	-0.9642	3.5160	
week	3	5	1.4505	7.4970	
week	3	6	2.7748	9.8076	
week	4	5	0.8602	5.5355	
week	4	6	1.9175	8.1132	
week	5	6	-0.5638	4.1988	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Autoregressive	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Satterthwaite	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	
week	7	0 1 2 3 4 5 6	

Dimensions	
Covariance Parameters	2	
Columns in X	24	
Columns in Z	0	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2048.37597965		
1	2	1823.28163392	0.00000445	
2	1	1823.27877286	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
AR(1)	id	0.7664	
Residual		52.0513	

Fit Statistics	
-2 Res Log Likelihood	1823.3	
AIC (Smaller is Better)	1827.3	
AICC (Smaller is Better)	1827.3	
BIC (Smaller is Better)	1831.1	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
1	225.10	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	week	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			13.1543	1.5923	133	8.26	<.0001	
Treatment_Group	Augmentation		-3.9884	2.2600	133	-1.76	0.0799	
Treatment_Group	Control		0	.	.	.	.	
week		0	17.9291	1.9557	249	9.17	<.0001	
week		1	12.9707	1.8860	270	6.88	<.0001	
week		2	8.0278	1.8040	289	4.45	<.0001	
week		3	6.8315	1.6710	293	4.09	<.0001	
week		4	5.5107	1.4639	281	3.76	0.0002	
week		5	2.0269	1.1228	242	1.81	0.0723	
week		6	0	.	.	.	.	
Treatment_Group*week	Augmentation	0	2.1743	2.7546	245	0.79	0.4307	
Treatment_Group*week	Augmentation	1	1.1326	2.6594	266	0.43	0.6705	
Treatment_Group*week	Augmentation	2	1.3809	2.5457	288	0.54	0.5879	
Treatment_Group*week	Augmentation	3	-1.0805	2.3643	293	-0.46	0.6480	
Treatment_Group*week	Augmentation	4	-0.9907	2.0829	279	-0.48	0.6347	
Treatment_Group*week	Augmentation	5	-0.4189	1.6011	241	-0.26	0.7938	
Treatment_Group*week	Augmentation	6	0	.	.	.	.	
Treatment_Group*week	Control	0	0	.	.	.	.	
Treatment_Group*week	Control	1	0	.	.	.	.	
Treatment_Group*week	Control	2	0	.	.	.	.	
Treatment_Group*week	Control	3	0	.	.	.	.	
Treatment_Group*week	Control	4	0	.	.	.	.	
Treatment_Group*week	Control	5	0	.	.	.	.	
Treatment_Group*week	Control	6	0	.	.	.	.	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	57.4	5.15	0.0270	
week	6	231	37.04	<.0001	
Treatment_Group*week	6	231	0.60	0.7282	

Least Squares Means	
Effect	Treatment_Group	week	Estimate	Standard Error	DF	t Value	Pr > |t|	
Treatment_Group*week	Augmentation	0	29.2692	1.4149	115	20.69	<.0001	
Treatment_Group*week	Augmentation	1	23.2692	1.4149	115	16.45	<.0001	
Treatment_Group*week	Augmentation	2	18.5745	1.4525	124	12.79	<.0001	
Treatment_Group*week	Augmentation	3	14.9168	1.5040	133	9.92	<.0001	
Treatment_Group*week	Augmentation	4	13.6858	1.5439	135	8.86	<.0001	
Treatment_Group*week	Augmentation	5	10.7739	1.5782	136	6.83	<.0001	
Treatment_Group*week	Augmentation	6	9.1658	1.6039	133	5.71	<.0001	
Treatment_Group*week	Control	0	31.0833	1.4727	115	21.11	<.0001	
Treatment_Group*week	Control	1	26.1250	1.4727	115	17.74	<.0001	
Treatment_Group*week	Control	2	21.1820	1.4975	121	14.14	<.0001	
Treatment_Group*week	Control	3	19.9857	1.5051	122	13.28	<.0001	
Treatment_Group*week	Control	4	18.6650	1.4980	118	12.46	<.0001	
Treatment_Group*week	Control	5	15.1812	1.5466	128	9.82	<.0001	
Treatment_Group*week	Control	6	13.1543	1.5923	133	8.26	<.0001	

Tests of Effect Slices	
Effect	week	Num DF	Den DF	F Value	Pr > F	
Treatment_Group*week	0	1	115	0.79	0.3762	
Treatment_Group*week	1	1	115	1.96	0.1647	
Treatment_Group*week	2	1	123	1.56	0.2137	
Treatment_Group*week	3	1	127	5.68	0.0187	
Treatment_Group*week	4	1	127	5.36	0.0222	
Treatment_Group*week	5	1	132	3.98	0.0482	
Treatment_Group*week	6	1	133	3.11	0.0799	

Model Information	
Data Set	WORK.DEPRESSION	
Dependent Variable	hamd	
Covariance Structure	Unstructured	
Subject Effect	id	
Estimation Method	REML	
Residual Variance Method	Profile	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Containment	

Class Level Information	
Class	Levels	Values	
id	50	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50	
Treatment_Group	2	Augmentation Control	

Dimensions	
Covariance Parameters	7	
Columns in X	9	
Columns in Z per Subject	3	
Subjects	50	
Max Obs per Subject	7	

Number of Observations	
Number of Observations Read	350	
Number of Observations Used	308	
Number of Observations Not Used	42	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	2094.44041480		
1	2	1864.86123736	0.00084832	
2	1	1864.20999730	0.00009222	
3	1	1864.14501127	0.00000148	
4	1	1864.14402998	0.00000000	

Convergence criteria met.	

Covariance Parameter Estimates	
Cov Parm	Subject	Estimate	
UN(1,1)	id	29.0343	
UN(2,1)	id	-5.8366	
UN(2,2)	id	15.8149	
UN(3,1)	id	0.1212	
UN(3,2)	id	-1.9877	
UN(3,3)	id	0.2911	
Residual		10.7206	

Fit Statistics	
-2 Res Log Likelihood	1864.1	
AIC (Smaller is Better)	1878.1	
AICC (Smaller is Better)	1878.5	
BIC (Smaller is Better)	1891.5	

Null Model Likelihood Ratio Test	
DF	Chi-Square	Pr > ChiSq	
6	230.30	<.0001	

Solution for Fixed Effects	
Effect	Treatment_Group	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept		30.5180	1.2471	48	24.47	<.0001	
Treatment_Group	Augmentation	-1.5190	1.7314	162	-0.88	0.3816	
Treatment_Group	Control	0	.	.	.	.	
week		-4.4857	0.9507	48	-4.72	<.0001	
week*Treatment_Group	Augmentation	-1.4797	1.3336	162	-1.11	0.2688	
week*Treatment_Group	Control	0	.	.	.	.	
week2		0.2996	0.1377	162	2.18	0.0310	
week2*Treatment_Grou	Augmentation	0.1537	0.1931	162	0.80	0.4272	
week2*Treatment_Grou	Control	0	.	.	.	.	

Solution for Random Effects	
Effect	id	Estimate	Std Err Pred	DF	t Value	Pr > |t|	
Intercept	1	2.0818	2.5790	162	0.81	0.4207	
week	1	-1.0871	1.8761	162	-0.58	0.5631	
week*week	1	0.1050	0.2866	162	0.37	0.7145	
Intercept	2	6.3822	2.5915	162	2.46	0.0148	
week	2	-5.6091	1.9023	162	-2.95	0.0037	
week*week	2	0.6231	0.2870	162	2.17	0.0314	
Intercept	3	-3.8282	2.6848	162	-1.43	0.1558	
week	3	-2.6526	2.4472	162	-1.08	0.2800	
week*week	3	0.4269	0.3547	162	1.20	0.2304	
Intercept	4	-1.3032	2.5790	162	-0.51	0.6140	
week	4	-0.9892	1.9208	162	-0.51	0.6073	
week*week	4	0.1928	0.3187	162	0.60	0.5460	
Intercept	5	3.8365	2.5790	162	1.49	0.1388	
week	5	4.2278	1.8761	162	2.25	0.0256	
week*week	5	-0.9267	0.2866	162	-3.23	0.0015	
Intercept	6	2.9060	2.5790	162	1.13	0.2615	
week	6	-6.2549	1.8761	162	-3.33	0.0011	
week*week	6	0.7575	0.2866	162	2.64	0.0090	
Intercept	7	6.1874	2.5790	162	2.40	0.0176	
week	7	-3.3767	1.8761	162	-1.80	0.0737	
week*week	7	0.4848	0.2866	162	1.69	0.0927	
Intercept	8	11.7406	2.5790	162	4.55	<.0001	
week	8	-1.8100	1.8761	162	-0.96	0.3361	
week*week	8	-0.2180	0.2866	162	-0.76	0.4481	
Intercept	9	-7.9650	2.6848	162	-2.97	0.0035	
week	9	-2.8063	2.4472	162	-1.15	0.2532	
week*week	9	0.5396	0.3547	162	1.52	0.1301	
Intercept	10	1.2543	2.5790	162	0.49	0.6274	
week	10	-3.9748	1.8761	162	-2.12	0.0356	
week*week	10	0.6536	0.2866	162	2.28	0.0239	
Intercept	11	-5.1174	2.5790	162	-1.98	0.0489	
week	11	-0.2805	1.8761	162	-0.15	0.8813	
week*week	11	0.1621	0.2866	162	0.57	0.5724	
Intercept	12	-3.0759	2.5790	162	-1.19	0.2347	
week	12	2.1435	1.8761	162	1.14	0.2549	
week*week	12	-0.2250	0.2866	162	-0.78	0.4337	
Intercept	13	2.2456	2.6865	162	0.84	0.4045	
week	13	1.1297	3.1942	162	0.35	0.7240	
week*week	13	-0.1992	0.4377	162	-0.46	0.6496	
Intercept	14	2.9611	2.6865	162	1.10	0.2720	
week	14	-0.5165	3.1942	162	-0.16	0.8717	
week*week	14	0.001970	0.4377	162	0.00	0.9964	
Intercept	15	6.0866	2.5790	162	2.36	0.0195	
week	15	-2.7780	1.8761	162	-1.48	0.1406	
week*week	15	0.1284	0.2866	162	0.45	0.6547	
Intercept	16	-3.4804	2.5790	162	-1.35	0.1790	
week	16	-0.1508	1.8761	162	-0.08	0.9361	
week*week	16	0.1087	0.2866	162	0.38	0.7051	
Intercept	17	-3.5210	2.5790	162	-1.37	0.1741	
week	17	2.3223	1.8761	162	1.24	0.2176	
week*week	17	-0.2811	0.2866	162	-0.98	0.3281	
Intercept	18	3.5510	2.5975	162	1.37	0.1735	
week	18	6.5479	1.9240	162	3.40	0.0008	
week*week	18	-0.7736	0.3266	162	-2.37	0.0190	
Intercept	19	-5.1323	2.5790	162	-1.99	0.0483	
week	19	4.3113	1.8761	162	2.30	0.0228	
week*week	19	-0.3631	0.2866	162	-1.27	0.2070	
Intercept	20	0.8060	2.5790	162	0.31	0.7550	
week	20	4.6659	1.8761	162	2.49	0.0139	
week*week	20	-0.7941	0.2866	162	-2.77	0.0063	
Intercept	21	-3.8761	2.5790	162	-1.50	0.1348	
week	21	6.5836	1.8761	162	3.51	0.0006	
week*week	21	-0.7066	0.2866	162	-2.47	0.0147	
Intercept	22	-3.1886	2.6865	162	-1.19	0.2370	
week	22	0.1007	3.1942	162	0.03	0.9749	
week*week	22	0.05798	0.4377	162	0.13	0.8948	
Intercept	23	2.0028	2.5790	162	0.78	0.4385	
week	23	4.1638	1.8761	162	2.22	0.0278	
week*week	23	-0.3426	0.2866	162	-1.20	0.2337	
Intercept	24	-5.4963	2.5790	162	-2.13	0.0346	
week	24	-3.8794	1.8761	162	-2.07	0.0402	
week*week	24	0.5754	0.2866	162	2.01	0.0464	
Intercept	25	-3.7803	2.5929	162	-1.46	0.1468	
week	25	0.3076	1.9838	162	0.16	0.8770	
week*week	25	-0.02696	0.2997	162	-0.09	0.9284	
Intercept	26	-2.2773	2.5790	162	-0.88	0.3785	
week	26	-0.3381	1.8761	162	-0.18	0.8572	
week*week	26	0.03901	0.2866	162	0.14	0.8919	
Intercept	27	0.9730	2.5927	162	0.38	0.7079	
week	27	-2.6058	1.8794	162	-1.39	0.1675	
week*week	27	0.3016	0.2872	162	1.05	0.2953	
Intercept	28	11.4239	2.5927	162	4.41	<.0001	
week	28	-2.1612	1.8794	162	-1.15	0.2519	
week*week	28	0.05757	0.2872	162	0.20	0.8414	
Intercept	29	-2.2726	2.6113	162	-0.87	0.3854	
week	29	3.7787	1.9267	162	1.96	0.0516	
week*week	29	-0.2789	0.3270	162	-0.85	0.3949	
Intercept	30	8.9467	2.6217	162	3.41	0.0008	
week	30	-2.6501	2.1094	162	-1.26	0.2108	
week*week	30	0.07655	0.3339	162	0.23	0.8189	
Intercept	31	-0.3948	2.5927	162	-0.15	0.8792	
week	31	3.2440	1.8794	162	1.73	0.0862	
week*week	31	-0.4020	0.2872	162	-1.40	0.1635	
Intercept	32	9.6871	2.5927	162	3.74	0.0003	
week	32	5.1565	1.8794	162	2.74	0.0068	
week*week	32	-0.8461	0.2872	162	-2.95	0.0037	
Intercept	33	-0.6217	2.5927	162	-0.24	0.8108	
week	33	-8.3679	1.8794	162	-4.45	<.0001	
week*week	33	1.0509	0.2872	162	3.66	0.0003	
Intercept	34	1.4132	2.5927	162	0.55	0.5865	
week	34	2.2499	1.8794	162	1.20	0.2330	
week*week	34	-0.4774	0.2872	162	-1.66	0.0984	
Intercept	35	5.5872	2.5927	162	2.15	0.0326	
week	35	-4.1731	1.8794	162	-2.22	0.0278	
week*week	35	0.3010	0.2872	162	1.05	0.2962	
Intercept	36	-6.0472	2.5927	162	-2.33	0.0209	
week	36	-0.08281	1.8794	162	-0.04	0.9649	
week*week	36	0.1915	0.2872	162	0.67	0.5060	
Intercept	37	4.3766	2.5927	162	1.69	0.0933	
week	37	-2.3806	1.8794	162	-1.27	0.2071	
week*week	37	0.2625	0.2872	162	0.91	0.3621	
Intercept	38	1.3619	2.5927	162	0.53	0.6001	
week	38	-1.3271	1.8794	162	-0.71	0.4811	
week*week	38	0.1962	0.2872	162	0.68	0.4954	
Intercept	39	-4.0200	2.5927	162	-1.55	0.1230	
week	39	0.1675	1.8794	162	0.09	0.9291	
week*week	39	0.1914	0.2872	162	0.67	0.5061	
Intercept	40	-0.8655	2.6997	162	-0.32	0.7489	
week	40	2.1366	3.1948	162	0.67	0.5046	
week*week	40	-0.2626	0.4378	162	-0.60	0.5495	
Intercept	41	-2.4305	2.5927	162	-0.94	0.3499	
week	41	-5.4132	1.8794	162	-2.88	0.0045	
week*week	41	0.7379	0.2872	162	2.57	0.0111	
Intercept	42	-5.6389	2.5927	162	-2.17	0.0311	
week	42	-2.6849	1.8794	162	-1.43	0.1550	
week*week	42	0.4020	0.2872	162	1.40	0.1635	
Intercept	43	0.9793	2.5927	162	0.38	0.7061	
week	43	1.9329	1.8794	162	1.03	0.3053	
week*week	43	-0.4936	0.2872	162	-1.72	0.0876	
Intercept	44	-4.4700	2.5927	162	-1.72	0.0866	
week	44	0.9762	1.8794	162	0.52	0.6042	
week*week	44	-0.2053	0.2872	162	-0.71	0.4757	
Intercept	45	-2.0010	2.5927	162	-0.77	0.4414	
week	45	2.7421	1.8794	162	1.46	0.1465	
week*week	45	-0.4578	0.2872	162	-1.59	0.1129	
Intercept	46	-2.8625	2.6113	162	-1.10	0.2746	
week	46	3.8539	1.9267	162	2.00	0.0471	
week*week	46	-0.2930	0.3270	162	-0.90	0.3715	
Intercept	47	-2.7825	2.5928	162	-1.07	0.2848	
week	47	4.7410	1.9234	162	2.46	0.0147	
week*week	47	-0.2725	0.3191	162	-0.85	0.3944	
Intercept	48	-3.1164	2.5927	162	-1.20	0.2311	
week	48	-0.8609	1.8794	162	-0.46	0.6475	
week*week	48	0.05241	0.2872	162	0.18	0.8554	
Intercept	49	-0.07597	2.5927	162	-0.03	0.9767	
week	49	-0.3767	1.8794	162	-0.20	0.8414	
week*week	49	0.2332	0.2872	162	0.81	0.4180	
Intercept	50	-7.1492	2.6113	162	-2.74	0.0069	
week	50	2.1049	1.9267	162	1.09	0.2762	
week*week	50	-0.06548	0.3270	162	-0.20	0.8415	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
Treatment_Group	1	162	0.77	0.3816	
week	1	48	61.41	<.0001	
week*Treatment_Group	1	162	1.23	0.2688	
week2	1	162	15.21	0.0001	
week2*Treatment_Grou	1	162	0.63	0.4272